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    ESTIMATING BUILDING THERMAL PROPERTIES BY INTEGRATING HEAT TRANSFER INVERSION MODEL WITH CLUSTERING AND REGRESSION TECHNIQUES FOR A PORTFOLIO OF EXISTING BUILDINGS
    1.
    发明申请
    ESTIMATING BUILDING THERMAL PROPERTIES BY INTEGRATING HEAT TRANSFER INVERSION MODEL WITH CLUSTERING AND REGRESSION TECHNIQUES FOR A PORTFOLIO OF EXISTING BUILDINGS 失效
    通过集成和回收技术整合现有建筑物的传统技术来估算建筑热性能

    公开(公告)号：US20120330626A1

    公开(公告)日：2012-12-27

    申请号：US13168116

    申请日：2011-06-24

    申请人： Lianjun An ,  Young Tae Chae ,  Raya Horesh ,  Young Min Lee ,  Chandrasekhara K. Reddy

    发明人： Lianjun An ,  Young Tae Chae ,  Raya Horesh ,  Young Min Lee ,  Chandrasekhara K. Reddy

    IPC分类号： G06F17/10

    CPC分类号： G01K17/20 ,  G06F17/5009 ,  G06F2217/16

    摘要： A static heat transfer model is derived from a system of dynamic equations by integrating the dynamic equations over different time periods. That static heat transfer model links periodic (e.g., monthly) energy usage with cooling and heating degree hours, humidifying and dehumidifying hours. Its coefficients of measuring correlations correspond to the thermal parameters of buildings. Temporal data from a building may be used to estimate the overall heat transfer parameters. A clustering scheme may be developed to decompose all the buildings into different clusters based on one or more similarity criteria. The overall heat transfer parameters are separated into values for the wall, roof and window using multiple buildings' data in the same cluster or group.

    摘要翻译： 通过在不同时间段内整合动态方程，从动态方程组得到静态热传递模型。 该静态热传递模型将周期性（例如，每月）能量消耗与冷却和加热度小时连接，加湿和除湿小时。 其测量相关系数对应于建筑物的热参数。 来自建筑物的时间数据可用于估计总体传热参数。 可以开发聚类方案以基于一个或多个相似性标准将所有建筑物分解成不同的群集。 使用同一群集或群组中多个建筑物的数据将总体传热参数分为墙壁，屋顶和窗户的值。